November 17, Wednesday
12:00 – 13:30
Handwriting recognition using hidden Markov models
Graduate seminar
Lecturer : Rafi Cohen
Affiliation : CS, BGU
Location : 202/37
Host : Graduate Seminar
Hidden Markov models (HMMs) were introduced and studied in the late 1960s, and early 1970s. One of the first applications of HMMs was speech recognition, starting in the mid-1970s. In the second half of the 1980s, HMMs began to be applied to recognition of handwritten text in images, commonly known as offline handwriting recognition (OHR).
In this talk, I'll present the Hidden Markov Model, and show some examples, of how it can be applied to offline handwriting recognition.